Odea S11
Geekbench AI Score
122
Single Precision Score
240
Half Precision Score
190
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 5hR3kY |
| Upload Date | November 11 2025 09:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Odea S11 |
| Model ID | Odea S11 |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
71
13.2 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (Q)
|
97% |
143
26.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
97
1.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
203
3.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
387
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
758
0.88 IPS |
|
|
Pose Estimation (Q)
|
95% |
753
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
67
5.32 IPS |
|
|
Object Detection (HP)
|
99% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
83% |
132
10.7 IPS |
|
|
Face Detection (SP)
|
100% |
247
2.93 IPS |
|
|
Face Detection (HP)
|
100% |
558
6.63 IPS |
|
|
Face Detection (Q)
|
96% |
500
5.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
292
2.25 IPS |
|
|
Depth Estimation (HP)
|
98% |
592
4.57 IPS |
|
|
Depth Estimation (Q)
|
62% |
467
4.44 IPS |
|
|
Style Transfer (SP)
|
100% |
687
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1433
1.84 IPS |
|
|
Style Transfer (Q)
|
98% |
1415
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
173
6.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
315
11.7 IPS |
|
|
Text Classification (SP)
|
35% |
4
39.1 IPS |
|
|
Text Classification (HP)
|
35% |
7
72.6 IPS |
|
|
Text Classification (Q)
|
31% |
5
72.2 IPS |
|
|
Machine Translation (SP)
|
100% |
121
2.08 IPS |
|
|
Machine Translation (HP)
|
100% |
173
2.98 IPS |
|
|
Machine Translation (Q)
|
43% |
42
2.46 IPS |
